RAG Corpus Shapes Demand Different Architectures

Three document collection shapes each require a different RAG architecture. Similarity search fails on enterprise shelves because it returns passages, not documents, mixing unrelated files. A quarter-million-document insurance broker needs exact filters like doc_type and client to cut candidates before embedding. Three questions determine the shape: document links, shared fields, and bundles.